Build a Recommender System in Python

Offered By
Coursera Project Network
In this Guided Project, you will:

Code a collaborative filtering-based recommendation system.

Code a content-based recommendation system.

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 2-hour long project-based course, you will learn how to build a Recommender System in Python. Youtube, Amazon, Google, Netflix…. all of these well-known services are known for their 'magic' algorithms that uncannily predict what videos or movies we would enjoy or what products we might be interested in buying. But how do these recommender systems work? Fortunately, they are simple enough to be understood by the average Python programmer. By the time you've finished "Build a Recommender System in Python", you'll have coded by hand 4 different types of recommender systems that mimic the techniques of Amazon, Netflix, and YouTube. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Data AnalysisPython ProgrammingMachine LearningRecommender Systems

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduce Recommender Systems

  2. Describe Differences Between Recommender Types

  3. Write a Simple Recommender in Python

  4. Write a Collaborative-Filtering Recommendation Engine in Python

  5. Write a Content-Based Recommender in Python

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.